Junghye Lee

30 papers A* 3A 1Journal 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
FT-MixE: Fourier transform-based efficient mixing of knowledge graph embeddings for improved link prediction.
Appl. Soft Comput.
Myounghoon Lee, Junghye Lee
2026 J jnl
Multi-modal deep learning-based fashion recommendation with styles.
Knowl. Based Syst.
Wonho Sohn, Suhyeon Kim, Dongcheol Lim, Hyerim Park, Wonji Lee, Junho Kim, Hwansung Yu, Junghye Lee
2025 J jnl
A graph convolutional network for time series classification using recurrence plots.
Appl. Intell.
Hyewon Kang, Taek-Ho Lee, Junghye Lee
2025 A conf
Federated Gradient Boosting for Financial Fraud Detection: An Empirical Study in the Banking Sector.
CIKM
Dae-Young Park, In-Young Ko, Taek-Ho Lee, Junghye Lee
2025 J jnl
Inter-country trade similarity graph-based long short-term memory for port throughput prediction.
Eng. Appl. Artif. Intell.
Wonho Sohn, Dongcheol Lim, Suhyeon Kim, Junghye Lee
2025 J jnl
Machine learning for disease-specific prediction of high-cost patients.
Eng. Appl. Artif. Intell.
Inwoo Tae, Hyeongwoo Kong, Junghye Lee, Yongjae Lee
2025 J jnl
TMF-GNN: Temporal matrix factorization-based graph neural network for multivariate time series forecasting with missing values.
Expert Syst. Appl.
Suhyeon Kim, Taek-Ho Lee, Junghye Lee
2024 J jnl
An Interpersonal Dynamics Analysis Procedure With Accurate Voice Activity Detection Using Low-Cost Recording Sensors.
IEEE Access
Dongcheol Lim, Hyewon Kang, Beomseok Choi, Woonki Hong, Junghye Lee
2024 A* conf
CAFO: Feature-Centric Explanation on Time Series Classification.
KDD
Jaeho Kim, Seok-Ju Hahn, Yoontae Hwang, Junghye Lee, Seulki Lee
2024 J jnl
CAFO: Feature-Centric Explanation on Time Series Classification.
CoRR
Jaeho Kim, Seok-Ju Hahn, Yoontae Hwang, Junghye Lee, Seulki Lee
2024 J jnl
HarmoSATE: Harmonized embedding-based self-attentive encoder to improve accuracy of privacy-preserving federated predictive analysis.
Inf. Sci.
Taek-Ho Lee, Suhyeon Kim, Junghye Lee, Chi-Hyuck Jun
2024 J jnl
Multichannel convolution neural network for gas mixture classification.
Ann. Oper. Res.
YongKyung Oh, Chiehyeon Lim, Junghye Lee, Sewon Kim, Sungil Kim
2024 A* conf
Pursuing Overall Welfare in Federated Learning through Sequential Decision Making.
ICML
Seok-Ju Hahn, Gi-Soo Kim, Junghye Lee
2024 J jnl
Pursuing Overall Welfare in Federated Learning through Sequential Decision Making.
CoRR
Seok-Ju Hahn, Gi-Soo Kim, Junghye Lee
2023 J jnl
Multitask Deep Learning for Human Activity, Speed, and Body Weight Estimation Using Commercial Smart Insoles.
IEEE Internet Things J.
Jaeho Kim, Hyewon Kang, Jaewan Yang, Haneul Jung, Seulki Lee, Junghye Lee
2023 J jnl
Word2Vec-based efficient privacy-preserving shared representation learning for federated recommendation system in a cross-device setting.
Inf. Sci.
Taek-Ho Lee, Suhyeon Kim, Junghye Lee, Chi-Hyuck Jun
2022 A* conf
Connecting Low-Loss Subspace for Personalized Federated Learning.
KDD
Seok-Ju Hahn, Minwoo Jeong, Junghye Lee
2022 J jnl
Risk score-embedded deep learning for biological age estimation: Development and validation.
Inf. Sci.
Suhyeon Kim, Hangyeol Kim, Eun-Sol Lee, Chiehyeon Lim, Junghye Lee
2021 J jnl
A multi-stage data mining approach for liquid bulk cargo volume analysis based on bill of lading data.
Expert Syst. Appl.
Suhyeon Kim, Wonho Sohn, Dongcheol Lim, Junghye Lee
2021 J jnl
An efficient multivariate feature ranking method for gene selection in high-dimensional microarray data.
Expert Syst. Appl.
Junghye Lee, In Young Choi, Chi-Hyuck Jun
2021 J jnl
Bilingual autoencoder-based efficient harmonization of multi-source private data for accurate predictive modeling.
Inf. Sci.
Taek-Ho Lee, Junghye Lee, Chi-Hyuck Jun
2021 J jnl
Subspace Learning for Personalized Federated Optimization.
CoRR
Seok-Ju Hahn, Minwoo Jeong, Junghye Lee
2020 J jnl
Different Spectral Domain Transformation for Land Cover Classification Using Convolutional Neural Networks with Multi-Temporal Satellite Imagery.
Remote. Sens.
Junghee Lee, Daehyeon Han, Minso Shin, Jungho Im, Junghye Lee, Lindi J. Quackenbush
2020 J jnl
GRAFFL: Gradient-free Federated Learning of a Bayesian Generative Model.
CoRR
Seok-Ju Hahn, Junghye Lee
2020 J jnl
Markov blanket-based universal feature selection for classification and regression of mixed-type data.
Expert Syst. Appl.
Junghye Lee, Jun-Yong Jeong, Chi-Hyuck Jun
2020 J jnl
Secure and Differentially Private Bayesian Learning on Distributed Data.
CoRR
Yeongjae Gil, Xiaoqian Jiang, Miran Kim, Junghye Lee
2020 J jnl
Secure and Differentially Private Logistic Regression for Horizontally Distributed Data.
IEEE Trans. Inf. Forensics Secur.
Miran Kim, Junghye Lee, Lucila Ohno-Machado, Xiaoqian Jiang
2020 J jnl
Word2vec-based latent semantic analysis (W2V-LSA) for topic modeling: A study on blockchain technology trend analysis.
Expert Syst. Appl.
Suhyeon Kim, Haecheong Park, Junghye Lee
2019 J jnl
Privacy-preserving Federated Bayesian Learning of a Generative Model for Imbalanced Classification of Clinical Data.
CoRR
Seok-Ju Hahn, Junghye Lee
2018 J jnl
Convolutional Neural Network-Based Land Cover Classification Using 2-D Spectral Reflectance Curve Graphs With Multitemporal Satellite Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Miae Kim, Junghee Lee, Daehyeon Han, Minso Shin, Jungho Im, Junghye Lee, Lindi J. Quackenbush, Zhu Gu